← Back to the catalogueTableau
Beginner to Advanced
Level
Classroom . Online . Hybrid
Mode
Course overview
A Tableau course covering data connection, calculations, dashboard craft and publishing. The course emphasises Tableau's analytical strengths: level-of-detail expressions, table calculations, sets and parameters, alongside dashboard craft layout containers, actions and performance.
Learners produce business, marketing and finance dashboards plus a data story.
Who it is for
- Analysts and BI developers
- Marketing and finance reporting staff
- Researchers presenting data
- Teams standardising on Tableau
Prerequisites
Basic data literacy and spreadsheet experience.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Three-Dashboard Pack
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Connect, join and blend multiple data sources.
02
Use LOD expressions for correct aggregation.
03
Design dashboards with layout containers.
04
Publish to Tableau Server or Public with extracts.
05
Write calculated fields and table calculations.
06
Control interactivity with parameters, sets and actions.
07
Build data stories for presentation.
Module structure
8 modulesModule 01
Tableau Foundations
Desktop interface . Dimensions and measures . Show me . Data types and roles . Marks card . Files and extracts
Live vs extract . Relationships . Data blending . Pivot in Tableau . Joins . Unions . Data interpreter
Module 03
Charts and Visual Analytics
Bar, line, scatter . Maps . Trend lines . Forecasting . LAB . Dual axis . Reference lines
Basic calculations . Date calculations . Quick table calcs . Logical and string functions . Table calculations
Module 05
Lod and Advanced Analysis
FIXED, INCLUDE, EXCLUDE . Nested calculations . Rank and percentiles
Parameters . Hierarchies . Actions . Sets and groups . Filters and context filters . Dynamic zone visibility
Module 07
Dashboards and Stories
Layout containers . Device layouts . Tooltips . Formatting standards . Story points . Presentation mode . LAB . DATA STORY
Module 08
Publishing and Performance
Tableau Server and Public . Permissions . Extract refresh . Performance recorder . Workbook optimisation
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
Tableau DeveloperBusiness Intelligence AnalystData AnalystVisualisation SpecialistConsultant
